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Dynamic Financial Analysis (DFA) to Determine the Optimal Level of Equity Capital for Insurance Companies

Dynamic Financial Analysis (DFA) to Determine the Optimal Level of Equity Capital for Insurance Companies
Author: Andreas Schönbächler
Publisher:
Total Pages:
Release: 2015
Genre:
ISBN:

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Risk management techniques have undergone significant changes during the last decades. One new tool that has been established in academic literature and practical application is Dynamic Financial Analysis (DFA). The method allows holistically analysing the financial situation of an insurance company. In this thesis, a DFA-model will be applied to analyse the default probabilities of an insurance company. It will focus on the different impacts of financial and insurance markets on the result of the insurance company. Furthermore, two management strategies will also be implemented in order to analyse the reliability of the model, on the one hand, and on the other hand, to investigate how the management can influence the result of the insurance company. The model will be implemented in MATLAB to ensure the efficiency of the model. With the implementation of the analysis, the aim of the thesis, to analyse different impacts of economic variables on the default probability of an insurance company, was achieved and the results were presented. Moreover, the implemented model also allowed applying other concepts from finance (e.g. Portfolio Theory). As it was the focus in this thesis to analyse the business of a non-life insurance company, it would be of interest to analyse similar impacts for a life insurance company.


Dynamic Financial Analysis

Dynamic Financial Analysis
Author:
Publisher:
Total Pages: 22
Release: 2003
Genre: Business enterprises
ISBN:

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Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management

Changes in the Life Insurance Industry: Efficiency, Technology and Risk Management
Author: J. David Cummins
Publisher: Springer Science & Business Media
Total Pages: 379
Release: 2012-12-06
Genre: Business & Economics
ISBN: 1461550459

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Major challenges for life insurance companies have been posed by an unprecedented wave of mergers and acquisitions in the insurance industry and the emergence of non-traditional competitors such as banks, mutual fund companies and investment advisory firms. This is the first book to analyze the determinants of firm performance in the life insurance industry by identifying the `best practices' employed by leading insurers to succeed in this dynamic business environment. The book draws upon data from insurer financial statements as well as upon an extensive survey of life insurer management practices and strategic choices in distribution systems, information technology, mergers and acquisitions, human resources and financial strategies. Generic strategies such as cost leadership, customer focus, and product differentiation are analyzed as well as strategic practices specific to the insurance industry. Best practices are identified by measuring the economic efficiency of insurers and by comparing firms across the industry. Both cost and revenue efficiency are measured relative to best practice efficient frontiers consisting of the industry's dominant life insurance firms. Economies of scale and the effects of mergers and acquisitions on efficiency are also analyzed. Financial strategies are examined with specific reference to pricing policy, valuation of assets and liabilities, and the current state of firm-level risk management systems. The benchmarks established are the result of extensive fieldwork that identifies key financial risks and methodologies to both measure and manage them at the firm level. The results discussed in the book indicate that firm performance is significantly correlated with management practices and strategic choices. Thus, life insurers can improve profitability by adopting optimal combinations of strategies. The book contains important new material on the effects of strategic choices in product distribution systems, information technology, mergers and acquisitions, human resources, and financial risk management policies. In the area of efficiency, the methodology provides a new approach for identifying peer groups of insurers and measuring the performance of individual insurers relative to their peer group. On the topics of risk and pricing, new insights are offered relative to current methodologies and in regard to areas where improvement is clearly warranted. The book concludes with an analysis of the future opportunities and challenges in the life insurance industry facing managers, and the strategic options available to them to cope with these changes.


Management Strategies and Dynamic Financial Analysis

Management Strategies and Dynamic Financial Analysis
Author: Martin Eling
Publisher:
Total Pages: 23
Release: 2013
Genre:
ISBN:

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Dynamic financial analysis (DFA) has become an important tool in analyzing the financial situation of insurance companies. Constant development and documentation of DFA tools has occurred during the last years. However, several questions concerning the implementation of DFA systems have not been answered in the DFA literature to date. One such important issue is the consideration of management strategies in the DFA context. The aim of this paper is to study the effects of different management strategies on a non-life insurer's risk and return profile. Therefore, we develop several management strategies and test them numerially within a DFA simulation study.


Dynamic Financial Analysis

Dynamic Financial Analysis
Author: Martin Eling
Publisher:
Total Pages: 27
Release: 2013
Genre:
ISBN:

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Dynamic financial analysis (DFA) models an insurance company's cash flow in order to forecast assets, liabilities, and ruin probabilities, as well as full balance sheets for different scenarios. In the last years DFA has become an important tool for the analysis of an insurance company's financial situation. The following article considers three aspects: First, we want to show the main drivers why DFA is of special importance today. Second, we classify DFA in the context of asset liability management and analyze its fundamental concepts. However, upon taking a closer look at DFA, we identify several implementation problems that have not yet been adequately considered in the literature. Thus, we finally discuss these areas, in particular the generation of random numbers and the modeling of nonlinear dependencies in a DFA framework.